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layout: post
title: Continuing with R
excerpt: These slides will be presented at the DSCOE Inferno Lite and are intended to give an idea of how to continue with R after an introductory course.
---
DSCOE Inferno Lite
DSCOE Inferno Lite
Ian Kloo
August 2016
Why continue with R?
Re-usable Code
Write it once, use it forever
Share with others to avoid duplicate effort
Auditable Methods
Easy to see what you did (assumptions)
Can easily tweak analyses without re-doing everything
Avoids the “hit by a bus” problem
Huge and Growing Community
Open source breeds collaboration
Any question has probably already been asked or answered
Ongoing development guaranteed
What can/should I do Now?
Advanced Modeling
Statistical Methods
Machine Learning
caret package!
Visualizations
ggplot
Publication-ready (with some work)
Easy syntax
Lots of support
ggplot: scientific
ggplot: maps
ggplot: heatmaps
ggplot: anything!
Pre-built htmlwidgets
rCharts, networkD3, plotly, leaflet, and many more!
Interactive visualizations
No need to learn javascript
Somewhat difficult to customize (in some cases)
rCharts
Plotly
Leaflet
Sigma
Roll-Your-Own htmlwidgets
Extremely customizable and interactive
Javascript knowledge required
Can write the JS once, then use R!
Add javascript visualizations to presentation, applications, and papers
Difficult learning curve
forceMap
Get a Project!
R is like running - stop for a few weeks and you lose most of it
Quick-turn work projects may not work, but try to use R if possible
Find something you are interested in and work at home
